Ecological Interface Design and Head-Up Displays: The Contact-Analog Visualization Tradeoff

Author(s):  
Frederik Schewe ◽  
Mark Vollrath

Objective This study investigated how the visualization of an ecological interface affects its subjective and objective usefulness. Therefore, we compared a simple 2D visualization against a contact-analog 3D visualization. Background Recently, head-up displays (HUDs) have become contact-analog and visualizations have been enabled to be merged with the real environment. In this regard, ecological interface design visualizing boundaries of acceptable performance might be a perfect match. Because the real-world environment already provides such boundaries (e.g., lane markings), the interface might directly use them. However, visual illusions and undesired interference with the environment might influence the overall usability. Method To allow for a comparison, 49 participants tested the same ecological interface in two configurations, contact-analog (3D) and two dimensional (2D). Both visualizations were shown in the car’s head-up display (HUD). Results The driving simulator experiment reveals that 3D was rated as more demanding and more disturbing, but also more innovative and appealing. However, regarding driving performance, the 3D representation decreased the accuracy of speed control by 6% while significantly increasing lane stability by 20%. Conclusion We conclude that, if we want environmental boundaries guiding our behavior, the indicator for the behavior should be visualized contact-analog. If we desire artificial boundaries (e.g., speed limits) to guide behavior, the behavioral indicator should be visualized in 2D. This is less prone to optical illusions and allows for a more precise control of behavior. Application These findings provide guidance to human factors engineers, how contact-analog visualizations might be used optimally.

Author(s):  
Vanessa Beanland ◽  
Eryn Grant ◽  
Gemma J. M. Read ◽  
Nicholas Stevens ◽  
Miles Thomas ◽  
...  

Countries such as Australia and USA have many rail level crossings (a.k.a. highway-rail grade crossings) with limited protection (e.g., static signs only or flashing lights but no physical barriers). Lower cost design solutions are required as upgrading crossings using current infrastructure treatments is cost-prohibitive. Here we applied Ecological Interface Design (EID) principles to develop a novel rail level crossing design for high-speed rural roads, and then evaluated the design via two driving simulator studies. Experiment 1 provided an initial concept evaluation of the crossing, then Experiment 2 evaluated the crossing in safetycritical situations, including when a distractor was present and when crossing infrastructure was damaged through vandalism. Driving performance, subjective workload, and usability were compared against existing rural crossing designs. Findings suggest the EID crossing provides a feasible alternative to existing designs, with the potential to encourage safer decision-making by road users and thus reduce collisions.


Author(s):  
Dal Vernon C. Reising ◽  
Penelope M. Sanderson

Ecological Interface Design (EID) is a recent philosophy for designing the visual displays of human-machine interfaces. An EID interface displays the higher-order relations and properties of a work domain so that adaptive operator problem solving is better supported for both normal and abnormal system conditions. Previous empirical studies of EID have assumed that the raw data required to derive and communicate the higher-order information would be available and reliable. The present research empirically evaluates the impact of having incomplete data on the effectiveness of an EID interface, compared to a more traditional piping and instrumentation interface. The research also addresses recent criticism directed at previous empirical studies of EID is also addressed. Results suggest that diagnostic performance using an ecological interface is compromised only when the interface is supported by a minimal set of instrumentation. However, an ecological interface supported by maximal instrumentation, on average, leads to the best diagnostic performance.


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